Integrates multiple earthquake data sources (IRIS, USGS, GNSS) for comprehensive seismic monitoring, analysis, and risk assessment via natural language queries.
AI-powered access to OSDU subsurface data through natural language, enabling AI assistants to interact with the OSDU platform via conversational interfaces for search, schema management, records, and compliance.
Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.
A Model Context Protocol server that lets you drive PyMOL with natural language, enabling structure loading, analytical views, measurements, and protein exploration through AI assistants.
Integrates multimodal large language models with ParaView to enable the creation and manipulation of scientific visualizations using natural language and visual inputs. It features visual feedback capabilities for iterative refinement, making advanced visualization workflows accessible through intelligent automation.